Triple

T12866713
Position Surface form Disambiguated ID Type / Status
Subject IFIP General Assembly E307738 entity
Predicate headquartersLocation P62 FINISHED
Object Laxenburg
Laxenburg is a small Austrian town near Vienna known for its historic imperial palace and park, which today hosts various international organizations and research institutions.
E1046270 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Laxenburg | Statement: [IFIP General Assembly, headquartersLocation, Laxenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laxenburg
Context triple: [IFIP General Assembly, headquartersLocation, Laxenburg]
  • A. Seibersdorf
    Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
  • B. Patersdorf
    Patersdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
  • C. Klosterneuburg
    Klosterneuburg is an Austrian town near Vienna, known for its historic Augustinian monastery and wine-growing tradition along the Danube River.
  • D. Wiener Neustadt
    Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
  • E. Vöcklabruck
    Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Laxenburg
Triple: [IFIP General Assembly, headquartersLocation, Laxenburg]
Generated description
Laxenburg is a small Austrian town near Vienna known for its historic imperial palace and park, which today hosts various international organizations and research institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laxenburg
Target entity description: Laxenburg is a small Austrian town near Vienna known for its historic imperial palace and park, which today hosts various international organizations and research institutions.
  • A. Seibersdorf
    Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
  • B. Patersdorf
    Patersdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
  • C. Klosterneuburg
    Klosterneuburg is an Austrian town near Vienna, known for its historic Augustinian monastery and wine-growing tradition along the Danube River.
  • D. Wiener Neustadt
    Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
  • E. Vöcklabruck
    Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708e0b788190b72a3057e271c227 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7a9e6c81908ae78daace02e7ec completed May 3, 2026, 2:36 p.m.
NEDg Description generation batch_69f75e30545c8190b47bd1e06411a163 completed May 3, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69f75e9fc1508190800291a16840a9a8 completed May 3, 2026, 2:41 p.m.
Created at: April 9, 2026, 5:38 p.m.